lapply                 package:base                 R Documentation

_A_p_p_l_y _a _F_u_n_c_t_i_o_n _o_v_e_r _a _L_i_s_t _o_r _V_e_c_t_o_r

_D_e_s_c_r_i_p_t_i_o_n:

     'lapply' returns a list of the same length as 'X'.  Each element
     of which is the result of applying 'FUN' to the corresponding
     element of 'X'.

     'sapply' is a "user-friendly" version of 'lapply' also accepting
     vectors as 'X', and returning a vector or matrix with 'dimnames'
     if appropriate.

     'replicate' is a wrapper for the common use of 'sapply' for
     repeated evaluation of an expression (which will usually involve
     random number generation.)

_U_s_a_g_e:

     lapply(X, FUN, ...)
     sapply(X, FUN, ..., simplify = TRUE, USE.NAMES = TRUE)

     replicate(n, expr, simplify = TRUE) 

_A_r_g_u_m_e_n_t_s:

       X: list or vector to be used.

     FUN: the function to be applied. In the case of functions like
          '+', '%*%', etc., the function name must be quoted.

     ...: optional arguments to 'FUN'.

simplify: logical; should the result be simplified to a vector if
          possible?

USE.NAMES: logical; if 'TRUE' and if 'X' is character, use 'X' as
          'names' for the result unless it had names already.

       n: Number of replications.

    expr: Expression to evaluate repeatedly.

_R_e_f_e_r_e_n_c_e_s:

     Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S
     Language_. Wadsworth & Brooks/Cole.

_S_e_e _A_l_s_o:

     'apply', 'tapply'.

_E_x_a_m_p_l_e_s:

     x <- list(a = 1:10, beta = exp(-3:3), logic = c(TRUE,FALSE,FALSE,TRUE))
     # compute the list mean for each list element
     lapply(x,mean)
     # median and quartiles for each list element
     lapply(x, quantile, probs = 1:3/4)
     sapply(x, quantile)
     str(i39 <- sapply(3:9, seq))# list of vectors
     sapply(i39, fivenum)
     hist(replicate(100, mean(rexp(10))))

